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García-Pérez J, Fernández de Larrea-Baz N, Lope V, Domínguez-Castillo A, Espinosa A, Dierssen-Sotos T, Contreras-Llanes M, Sierra MÁ, Castaño-Vinyals G, Tardón A, Jiménez-Moleón JJ, Molina-Barceló A, Aragonés N, Kogevinas M, Pollán M, Pérez-Gómez B. Risk of prostate cancer in the proximity of industrial installations: A multicase-control study in Spain (MCC-Spain). THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 946:174347. [PMID: 38944307 DOI: 10.1016/j.scitotenv.2024.174347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 06/11/2024] [Accepted: 06/26/2024] [Indexed: 07/01/2024]
Abstract
BACKGROUND Prostate cancer (PC) is the second most frequent tumor in men worldwide; however, its etiology remains largely unknown, with the exception of age and family history. The wide variability in incidence/mortality across countries suggests a certain role for environmental exposures that has not yet been clarified. OBJECTIVE To evaluate the association between risk of PC (by clinical profile) and residential proximity to pollutant industrial installations (by industrial groups, groups of carcinogens, and specific pollutants released), within the context of a Spanish population-based multicase-control study of incident cancer (MCC-Spain). METHODS This study included 1186 controls and 234 PC cases, frequency matched by age and province of residence. Distances from participants' residences to the 58 industries located in the study area were calculated and categorized into "near" (considering different limits between ≤1 km and ≤ 3 km) or "far" (>3 km). Odds ratios (ORs) and 95 % confidence intervals (95%CIs) were estimated using mixed and multinomial logistic regression models, adjusted for potential confounders and matching variables. RESULTS No excess risk was detected near the overall industries, with ORs ranging from 0.66 (≤2 km) to 1.11 (≤1 km). However, positive associations (OR; 95%CI) were found, by industrial group, near (≤3 km) industries of ceramic (2.54; 1.28-5.07), food/beverage (2.18; 1.32-3.62), and disposal/recycling of animal waste (2.67; 1.12-6.37); and, by specific pollutant, near plants releasing fluorine (4.65; 1.45-14.91 at ≤1.5 km) and chlorine (5.21; 1.56-17.35 at ≤1 km). In contrast, inverse associations were detected near industries releasing ammonia, methane, dioxins+furans, polycyclic aromatic hydrocarbons, trichloroethylene, and vanadium to air. CONCLUSIONS The results suggest no association between risk of PC and proximity to the overall industrial installations. However, some both positive and inverse associations were detected near certain industrial groups and industries emitting specific pollutants.
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Affiliation(s)
- Javier García-Pérez
- Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), Avda. Monforte de Lemos, 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain.
| | - Nerea Fernández de Larrea-Baz
- Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), Avda. Monforte de Lemos, 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain.
| | - Virginia Lope
- Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), Avda. Monforte de Lemos, 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain.
| | - Alejandro Domínguez-Castillo
- Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), Avda. Monforte de Lemos, 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain.
| | - Ana Espinosa
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain; Barcelona Institute of Global Health (ISGlobal), Carrer Del Dr. Aiguader, 88, 08003 Barcelona, Spain; University Pompeu Fabra, Plaça de La Mercè, 10-12, 08002 Barcelona, Spain; Hospital Del Mar Medical Research Institute (IMIM), Carrer Del Dr. Aiguader, 88, 08003 Barcelona, Spain.
| | - Trinidad Dierssen-Sotos
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain; Department of Medical and Surgical Sciences, Faculty of Medicine, University of Cantabria, IDIVAL, Avda. Cardenal Herrera Oria s/n, 39011 Santander, Spain.
| | - Manuel Contreras-Llanes
- Research Center on Natural Resources, Health, and Environment (RENSMA), University of Huelva, Campus de El Carmen, Av. del Tres de Marzo, s/n, 21071 Huelva, Spain.
| | - María Ángeles Sierra
- Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), Avda. Monforte de Lemos, 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain.
| | - Gemma Castaño-Vinyals
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain; Barcelona Institute of Global Health (ISGlobal), Carrer Del Dr. Aiguader, 88, 08003 Barcelona, Spain; University Pompeu Fabra, Plaça de La Mercè, 10-12, 08002 Barcelona, Spain; Hospital Del Mar Medical Research Institute (IMIM), Carrer Del Dr. Aiguader, 88, 08003 Barcelona, Spain.
| | - Adonina Tardón
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain; Health Research Institute of Asturias (ISPA), University of Oviedo, Av. Del Hospital Universitario, 33011 Oviedo, Spain.
| | - José J Jiménez-Moleón
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain; Department of Preventive Medicine and Public Health, University of Granada, Av. de La Investigación, 11, 18016 Granada, Spain; Institute of Health Research IBS., Granada, Spain.
| | - Ana Molina-Barceló
- Cancer and Public Health Area, The Foundation for the Promotion of Health and Biomedical Research of Valencia Region (FISABIO), Av. de Catalunya, 21, 46020 Valencia, Spain.
| | - Nuria Aragonés
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain; Cancer Surveillance and Registry Unit, Division of Public Health, Department of Health of Madrid, C. López de Hoyos, 35, 28002 Madrid, Spain.
| | - Manolis Kogevinas
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain; Barcelona Institute of Global Health (ISGlobal), Carrer Del Dr. Aiguader, 88, 08003 Barcelona, Spain; University Pompeu Fabra, Plaça de La Mercè, 10-12, 08002 Barcelona, Spain; Hospital Del Mar Medical Research Institute (IMIM), Carrer Del Dr. Aiguader, 88, 08003 Barcelona, Spain.
| | - Marina Pollán
- Cancer and Environmental Epidemiology Unit, Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), Avda. Monforte de Lemos, 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain.
| | - Beatriz Pérez-Gómez
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Avda. Monforte de Lemos, 3-5, 28029 Madrid, Spain; Department of Epidemiology of Chronic Diseases, National Center for Epidemiology, Instituto de Salud Carlos III (Carlos III Institute of Health), Avda. Monforte de Lemos, 5, 28029 Madrid, Spain.
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2
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Dahman L, Gauthier V, Camier A, Bigna JJ, Glowacki F, Amouyel P, Dauchet L, Hamroun A. Air pollution and kidney cancer risk: a systematic review and meta-analysis. J Nephrol 2024:10.1007/s40620-024-01984-x. [PMID: 38913266 DOI: 10.1007/s40620-024-01984-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 04/30/2024] [Indexed: 06/25/2024]
Abstract
BACKGROUND Although several risk factors of kidney cancer have already been well-addressed, many remain underappreciated, such as chronic exposure to air pollution. This systematic review and meta-analysis aims to assess the association between air pollutant exposure and the risk of kidney cancer. METHODS With an exhaustive search equation including keywords related to air pollution and kidney cancer on EMBASE, PubMed, Web of science, Cochrane Library and CINAHL database, we identified all relevant articles published before March 23rd, 2023 (Prospero registration number: CRD42020187956). Using random-effects meta-analysis, we present pooled hazard ratios (with their respective 95% confidence interval) associated with a 10 µg/m3 increase in each pollutant level. Heterogeneity was quantified by the I2 statistic. Risks of methodological and publication bias were also both assessed using appropriate tools. RESULTS Of the 1919 records identified, our review included 19 articles (13 cohort, 5 registry-based and 1 case-control studies), of which 9 were suitable for the meta-analysis. We found a significantly increased risk of kidney cancer incidence for a 10 μg/m3 elevation of both particulate matter of less than 10 µm (PM10) (HR = 1.29 [1.10; 1.51], I2 = 0%, p = 0.002) and nitrogen dioxide (NO2) (HR = 1.10 [1.03; 1.18], I2 = 20%, p = 0.004). Secondary analyses also suggest an increased risk of kidney cancer-related morbidity-mortality associated with PM10 exposure. CONCLUSIONS Overall, our findings suggest a potential association between exposure to increased levels of PM10 and NO2 and the risk of kidney cancer. These results should nonetheless be interpreted with caution due to the limited number of included studies and their significant risk of methodological bias.
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Affiliation(s)
- Lina Dahman
- Service de Santé Publique, Epidémiologie, Economie de la Santé et Prévention, CHU de Lille, Lille, France
- Faculté de Médecine, Université Catholique de Lille, Lille, France
| | - Victoria Gauthier
- Service de Santé Publique, Epidémiologie, Economie de la Santé Et Prévention, CHU de Lille, Lille, France
- UMR1167 RID-AGE, Institut Pasteur de Lille, Inserm, Univ Lille, CHU Lille, Lille, France
| | | | - Jean Joel Bigna
- Département de Santé Publique, Epidémiologie, Institut Pasteur du Cameroun, Yaoundé, Cameroun
| | | | - Philippe Amouyel
- Service de Santé Publique, Epidémiologie, Economie de la Santé Et Prévention, CHU de Lille, Lille, France
- UMR1167 RID-AGE, Institut Pasteur de Lille, Inserm, Univ Lille, CHU Lille, Lille, France
| | - Luc Dauchet
- Service de Santé Publique, Epidémiologie, Economie de la Santé Et Prévention, CHU de Lille, Lille, France
- UMR1167 RID-AGE, Institut Pasteur de Lille, Inserm, Univ Lille, CHU Lille, Lille, France
| | - Aghiles Hamroun
- Service de Santé Publique, Epidémiologie, Economie de la Santé Et Prévention, CHU de Lille, Lille, France.
- UMR1167 RID-AGE, Institut Pasteur de Lille, Inserm, Univ Lille, CHU Lille, Lille, France.
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Li J, Deng Z, Soerensen SJC, Kachuri L, Cardenas A, Graff RE, Leppert JT, Langston ME, Chung BI. Ambient air pollution and urological cancer risk: A systematic review and meta-analysis of epidemiological evidence. Nat Commun 2024; 15:5116. [PMID: 38879581 PMCID: PMC11180144 DOI: 10.1038/s41467-024-48857-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 05/13/2024] [Indexed: 06/19/2024] Open
Abstract
Exposure to ambient air pollution has significant adverse health effects; however, whether air pollution is associated with urological cancer is largely unknown. We conduct a systematic review and meta-analysis with epidemiological studies, showing that a 5 μg/m3 increase in PM2.5 exposure is associated with a 6%, 7%, and 9%, increased risk of overall urological, bladder, and kidney cancer, respectively; and a 10 μg/m3 increase in NO2 is linked to a 3%, 4%, and 4% higher risk of overall urological, bladder, and prostate cancer, respectively. Were these associations to reflect causal relationships, lowering PM2.5 levels to 5.8 μg/m3 could reduce the age-standardized rate of urological cancer by 1.5 ~ 27/100,000 across the 15 countries with the highest PM2.5 level from the top 30 countries with the highest urological cancer burden. Implementing global health policies that can improve air quality could potentially reduce the risk of urologic cancer and alleviate its burden.
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Affiliation(s)
- Jinhui Li
- Department of Urology, Stanford University Medical Center, Stanford, CA, USA.
| | - Zhengyi Deng
- Department of Urology, Stanford University Medical Center, Stanford, CA, USA
| | - Simon John Christoph Soerensen
- Department of Urology, Stanford University Medical Center, Stanford, CA, USA
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Linda Kachuri
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Andres Cardenas
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Rebecca E Graff
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - John T Leppert
- Department of Urology, Stanford University Medical Center, Stanford, CA, USA
- Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Division of Urology, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
| | - Marvin E Langston
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA, USA
| | - Benjamin I Chung
- Department of Urology, Stanford University Medical Center, Stanford, CA, USA
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4
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Kayyal-Tarabeia I, Zick A, Kloog I, Levy I, Blank M, Agay-Shay K. Beyond lung cancer: air pollution and bladder, breast and prostate cancer incidence. Int J Epidemiol 2024; 53:dyae093. [PMID: 39018665 DOI: 10.1093/ije/dyae093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 07/03/2024] [Indexed: 07/19/2024] Open
Abstract
BACKGROUND The carcinogenicity of air pollution and its impact on the risk of lung cancer is well known; however, there are still knowledge gaps and mixed results for other sites of cancer. METHODS The current study aimed to evaluate the associations between ambient air pollution [fine particulate matter (PM2.5) and nitrogen oxides (NOx)] and cancer incidence. Exposure assessment was based on historical addresses of >900 000 participants. Cancer incidence included primary cancer cases diagnosed from 2007 to 2015 (n = 30 979). Cox regression was used to evaluate the associations between ambient air pollution and cancer incidence [hazard ratio (HR), 95% CI]. RESULTS In the single-pollutant models, an increase of one interquartile range (IQR) (2.11 µg/m3) of PM2.5 was associated with an increased risk of all cancer sites (HR = 1.51, 95% CI: 1.47-1.54), lung cancer (HR = 1.73, 95% CI: 1.60-1.87), bladder cancer (HR = 1.50, 95% CI: 1.37-1.65), breast cancer (HR = 1.50, 95% CI: 1.42-1.58) and prostate cancer (HR = 1.41, 95% CI: 1.31-1.52). In the single-pollutant and the co-pollutant models, the estimates for PM2.5 were stronger compared with NOx for all the investigated cancer sites. CONCLUSIONS Our findings confirm the carcinogenicity of ambient air pollution on lung cancer and provide additional evidence for bladder, breast and prostate cancers. Further studies are needed to confirm our observation regarding prostate cancer. However, the need for more research should not be a barrier to implementing policies to limit the population's exposure to air pollution.
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Affiliation(s)
- Inass Kayyal-Tarabeia
- The Health & Environment Research (HER) Lab, Azrieli Faculty of Medicine, Bar Ilan University, Safed, Israel
- The Galilee Society, The Arab National Society for Research and Health, Shefa-Amr, Israel
| | - Aviad Zick
- Sharett Institute for Oncology, Hadassah Medical Centre, Jerusalem, Israel
- The Faculty of Medicine, The Hebrew University, Jerusalem, Israel
| | - Itai Kloog
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Ilan Levy
- Air Quality and Climate Change Division, Israel Ministry of Environmental Protection, Jerusalem, Israel
| | - Michael Blank
- Laboratory of Molecular and Cellular Cancer Biology, Azrieli Faculty of Medicine, Bar Ilan University, Safed, Israel
| | - Keren Agay-Shay
- The Health & Environment Research (HER) Lab, Azrieli Faculty of Medicine, Bar Ilan University, Safed, Israel
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5
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Zhu W, Al-Kindi SG, Rajagopalan S, Rao X. Air Pollution in Cardio-Oncology and Unraveling the Environmental Nexus: JACC: CardioOncology State-of-the-Art Review. JACC CardioOncol 2024; 6:347-362. [PMID: 38983383 PMCID: PMC11229557 DOI: 10.1016/j.jaccao.2024.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 03/26/2024] [Accepted: 04/04/2024] [Indexed: 07/11/2024] Open
Abstract
Although recent advancements in cancer therapies have extended the lifespan of patients with cancer, they have also introduced new challenges, including chronic health issues such as cardiovascular disease arising from pre-existing risk factors or cancer therapies. Consequently, cardiovascular disease has become a leading cause of non-cancer-related death among cancer patients, driving the rapid evolution of the cardio-oncology field. Environmental factors, particularly air pollution, significantly contribute to deaths associated with cardiovascular disease and specific cancers, such as lung cancer. Despite these statistics, the health impact of air pollution in the context of cardio-oncology has been largely overlooked in patient care and research. Notably, the impact of air pollution varies widely across geographic areas and among individuals, leading to diverse exposure consequences. This review aims to consolidate epidemiologic and preclinical evidence linking air pollution to cardio-oncology while also exploring associated health disparities and environmental justice issues.
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Affiliation(s)
- Wenqiang Zhu
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Sadeer G Al-Kindi
- Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA
| | - Sanjay Rajagopalan
- Harrington Heart and Vascular Institute, University Hospitals, School of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Xiaoquan Rao
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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Nardi-Agmon I, Cohen G, Itzhaki Ben Zadok O, Steinberg DM, Kornowski R, Gerber Y. Cancer Incidence and Survival Among Patients Following an Acute Coronary Syndrome. Am J Cardiol 2023; 202:50-57. [PMID: 37423174 DOI: 10.1016/j.amjcard.2023.06.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 05/17/2023] [Accepted: 06/06/2023] [Indexed: 07/11/2023]
Abstract
To examine the role of acute coronary syndrome (ACS) in subsequent cancer incidence and survival, 2 cohorts of patients hospitalized with ACS were matched 1:1 by gender and age (±3 years) to cardiovascular disease (CVD)-free patients from 2 cycles of the Israeli National Health and Nutrition Surveys. Data on all-cause mortality were retrieved from national registries. Cancer incidence with death treated as a competing event, overall survival, and mortality risk associated with incident cancer as a time-dependent variable were compared between the groups. Our cohort included 2,040 cancer-free matched pairs (mean age of 60±14 years, 42.5% women). Despite higher rates of smokers and patients with hypertension and diabetes mellitus, 10-year cumulative cancer incidence was significantly lower in the ACS group compared with CVD-free group (8.0% vs 11.4%, p = 0.02). This decreased risk was more pronounced in women than men (pinteraction = 0.05). Although being free of CVD meant a significant (p <0.001) survival advantage in the general cohort, this advantage faded once a cancer diagnosis was made (p = 0.80). After adjustment for sociodemographic and clinical covariates, the hazard ratios for mortality associated with a cancer diagnosis were 2.96 (95% confidence interval: 2.36 to 3.71) in the ACS group versus 6.41 (95% confidence interval: 4.96 to 8.28) in the CVD-free group (Pinteraction<0.001). In conclusion, in this matched cohort, ACS was associated with a lower risk of cancer and mitigated the excess risk of mortality associated with cancer incidence.
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Affiliation(s)
- Inbar Nardi-Agmon
- Department of Cardiology, Rabin Medical Center, Tel Aviv, Israel; Department of Cardiovascular Medicine, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
| | - Gali Cohen
- Department of Epidemiology and Preventive Medicine, School of Public Health, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Stanley Steyer Institute for Cancer Epidemiology and Research, Tel Aviv University, Tel Aviv, Israel
| | - Osnat Itzhaki Ben Zadok
- Department of Cardiology, Rabin Medical Center, Tel Aviv, Israel; Department of Cardiovascular Medicine, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - David M Steinberg
- Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv, Israel
| | - Ran Kornowski
- Department of Cardiology, Rabin Medical Center, Tel Aviv, Israel; Department of Cardiovascular Medicine, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Yariv Gerber
- Department of Epidemiology and Preventive Medicine, School of Public Health, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Stanley Steyer Institute for Cancer Epidemiology and Research, Tel Aviv University, Tel Aviv, Israel; Lilian and Marcel Pollak Chair in Biological Anthropology, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
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Praud D, Deygas F, Amadou A, Bouilly M, Turati F, Bravi F, Xu T, Grassot L, Coudon T, Fervers B. Traffic-Related Air Pollution and Breast Cancer Risk: A Systematic Review and Meta-Analysis of Observational Studies. Cancers (Basel) 2023; 15:cancers15030927. [PMID: 36765887 PMCID: PMC9913524 DOI: 10.3390/cancers15030927] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 01/24/2023] [Accepted: 01/27/2023] [Indexed: 02/05/2023] Open
Abstract
Current evidence of an association of breast cancer (BC) risk with air pollution exposure, in particular from traffic exhaust, remains inconclusive, and the exposure assessment methodologies are heterogeneous. This study aimed to conduct a systematic review and meta-analysis on the association between traffic-related air pollution (TRAP) and BC incidence (PROSPERO CRD42021286774). We systematically reviewed observational studies assessing exposure to TRAP and BC risk published until June 2022, available on Medline/PubMed and Web of Science databases. Studies using models for assessing exposure to traffic-related air pollutants or using exposure proxies (including traffic density, distance to road, etc.) were eligible for inclusion. A random-effects meta-analysis of studies investigating the association between NO2/NOx exposure and BC risk was conducted. Overall, 21 studies meeting the inclusion criteria were included (seven case-control, one nested case-control, 13 cohort studies); 13 studies (five case-control, eight cohort) provided data for inclusion in the meta-analyses. Individual studies provided little evidence of an association between TRAP and BC risk; exposure assessment methods and time periods of traffic emissions were different. The meta-estimate on NO2 exposure indicated a positive association (pooled relative risk per 10 µg/m3 of NO2: 1.015; 95% confidence interval, CI: 1.003; 1.028). No association between NOx exposure and BC was found (three studies). Although there was limited evidence of an association for TRAP estimated with proxies, the meta-analysis showed a significant association between NO2 exposure, a common TRAP pollutant marker, and BC risk, yet with a small effect size. Our findings provide additional support for air pollution carcinogenicity.
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Affiliation(s)
- Delphine Praud
- Prevention Cancer Environment Department, Centre Léon Bérard, 28 rue Laënnec, 69008 Lyon, France
- Inserm, U1296 Unit, “Radiation: Defense, Health and Environment”, Centre Léon Bérard, 28 rue Laënnec, 69008 Lyon, France
- Correspondence:
| | - Floriane Deygas
- Prevention Cancer Environment Department, Centre Léon Bérard, 28 rue Laënnec, 69008 Lyon, France
- Inserm, U1296 Unit, “Radiation: Defense, Health and Environment”, Centre Léon Bérard, 28 rue Laënnec, 69008 Lyon, France
| | - Amina Amadou
- Prevention Cancer Environment Department, Centre Léon Bérard, 28 rue Laënnec, 69008 Lyon, France
- Inserm, U1296 Unit, “Radiation: Defense, Health and Environment”, Centre Léon Bérard, 28 rue Laënnec, 69008 Lyon, France
| | - Maryline Bouilly
- Prevention Cancer Environment Department, Centre Léon Bérard, 28 rue Laënnec, 69008 Lyon, France
- Inserm, U1296 Unit, “Radiation: Defense, Health and Environment”, Centre Léon Bérard, 28 rue Laënnec, 69008 Lyon, France
| | - Federica Turati
- Department of Clinical Sciences and Community Health, University of Milan, Via A. Vanzetti 5, 20133 Milan, Italy
| | - Francesca Bravi
- Department of Clinical Sciences and Community Health, University of Milan, Via A. Vanzetti 5, 20133 Milan, Italy
| | - Tingting Xu
- Prevention Cancer Environment Department, Centre Léon Bérard, 28 rue Laënnec, 69008 Lyon, France
| | - Lény Grassot
- Prevention Cancer Environment Department, Centre Léon Bérard, 28 rue Laënnec, 69008 Lyon, France
- Inserm, U1296 Unit, “Radiation: Defense, Health and Environment”, Centre Léon Bérard, 28 rue Laënnec, 69008 Lyon, France
| | - Thomas Coudon
- Prevention Cancer Environment Department, Centre Léon Bérard, 28 rue Laënnec, 69008 Lyon, France
- Inserm, U1296 Unit, “Radiation: Defense, Health and Environment”, Centre Léon Bérard, 28 rue Laënnec, 69008 Lyon, France
| | - Béatrice Fervers
- Prevention Cancer Environment Department, Centre Léon Bérard, 28 rue Laënnec, 69008 Lyon, France
- Inserm, U1296 Unit, “Radiation: Defense, Health and Environment”, Centre Léon Bérard, 28 rue Laënnec, 69008 Lyon, France
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Zhang HW, Tsai ZR, Kok VC, Peng HC, Chen YH, Tsai JJP, Hsu CY. Long-term ambient hydrocarbon exposure and incidence of urinary bladder cancer. Sci Rep 2022; 12:20799. [PMID: 36460770 PMCID: PMC9718740 DOI: 10.1038/s41598-022-25425-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 11/29/2022] [Indexed: 12/02/2022] Open
Abstract
Particulate matter and volatile organic compounds, including total hydrocarbons (THCs), are major ambient air pollutants. Primary nonmethane hydrocarbons (NMHCs) originate from vehicle emissions. The association between air pollution and urinary bladder cancer (UBC) is debatable. We investigated whether long-term exposure to ambient hydrocarbons increases UBC risk among people aged ≥ 20 years in Taiwan. Linkage dataset research with longitudinal design was conducted among 589,135 initially cancer-free individuals during 2000-2013; 12 airborne pollutants were identified. Several Cox models considering potential confounders were employed. The study outcomes were invasive or in situ UBC incidence over time. The targeted pollutant concentration was divided into three tertiles: T1/T2/T3. The mean age of individuals at risk was 42.5 (SD 15.7), and 50.5% of the individuals were men. The mean daily average over 10 years of airborne THC concentration was 2.25 ppm (SD 0.13), and NMHC was 0.29 ppm (SD 0.09). Both pollutants show long-term monotonic downward trend over time using the Mann-Kendall test. There was a dose-dependent increase in UBC at follow-up. UBC incidence per 100,000 enrollees according to T1/T2/T3 exposure to THC was 60.9, 221.2, and 651.8, respectively; it was 170.0/349.5/426.7 per 100,000 enrollees, corresponding to T1/T2/T3 exposure to NMHC, respectively. Without controlling for confounding air pollutants, the adjusted hazard ratio (adj.HR) was 1.83 (95% CI 1.75-1.91) per 0.13-ppm increase in THC; after controlling for PM2.5, adj.HR was even higher at 2.09 (95% CI 1.99-2.19). The adj.HR was 1.37 (95% CI 1.32-1.43) per 0.09-ppm increase in ambient NMHC concentration. After controlling for SO2 and CH4, the adj.HR was 1.10 (95% CI 1.06-1.15). Sensitivity analyses showed that UBC development risk was not sex-specific or influenced by diabetes status. Long-term exposure to THC and NMHC may be a risk factor for UBC development. Acknowledging pollutant sources can inform risk management strategies.
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Affiliation(s)
- Han-Wei Zhang
- Program for Aging, China Medical University, Taichung, Taiwan
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan
- Institute of Electrical Control Engineering, Department of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
- Biomedica Corporation, New Taipei, Taiwan
| | - Zhi-Ren Tsai
- Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan
- Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan
- Center for Precision Medicine Research, Asia University, Taichung, Taiwan
| | - Victor C Kok
- Department of Bioinformatics and Medical Engineering, Asia University, Taichung, Taiwan.
- Division of Medical Oncology, Kuang Tien General Hospital Cancer Center, 117 Shatien Rd Shalu Dist., Taichung, 43303, Taiwan.
| | | | - Yau-Hung Chen
- Department of Chemistry, Tamkang University, New Taipei City, 25137, Taiwan
| | - Jeffrey J P Tsai
- Center for Precision Medicine Research, Asia University, Taichung, Taiwan
- Department of Bioinformatics and Medical Engineering, Asia University, Taichung, Taiwan
| | - Chung Y Hsu
- Graduate Institute of Biomedical Science, China Medical University, Taichung, Taiwan
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9
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Shearston JA, Cerna-Turoff I, Hilpert M, Kioumourtzoglou MA. Quantifying diurnal changes in NO 2 due to COVID-19 stay-at-home orders in New York City. HYGIENE AND ENVIRONMENTAL HEALTH ADVANCES 2022; 4:100032. [PMID: 36926117 PMCID: PMC9580220 DOI: 10.1016/j.heha.2022.100032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 10/18/2022] [Accepted: 10/18/2022] [Indexed: 11/16/2022]
Abstract
Introduction Policy responses to the COVID-19 pandemic, such as the NY on Pause stay-at-home order (March 22 - June 8, 2020), substantially reduced traffic and traffic-related air pollution (TRAP) in New York City (NYC). We evaluated the magnitude of TRAP decreases and examined the role of modifying factors such as weekend/weekday, road proximity, location, and time-of-day. Methods Hourly nitrogen dioxide (NO2) concentrations from January 1, 2018 through June 8, 2020 were obtained from the Environmental Protection Agency's Air Quality System for all six hourly monitors in the NYC area. We used an interrupted time series design to determine the impact of NY on Pause on NO2 concentrations, using a mixed effects model with random intercepts for monitor location, adjusted for meteorology and long-term trends. We evaluated effect modification through stratification. Results NO2 concentrations decreased during NY on Pause by 19% (-3.2 ppb, 95% confidence interval [CI]: -3.5, -3.0), on average, compared to pre-Pause time trends. We found no evidence for modification by weekend/weekday, but greater decreases in NO2 at non-roadside monitors and weak evidence for modification by location. For time-of-day, we found the largest decreases for 5 am (27%, -4.5 ppb, 95% CI: -5.7, -3.3) through 7 am (24%, -4.0 ppb, 95% CI: -5.2, -2.8), followed by 6 pm and 7 pm (22%, -3.7 ppb, 95% CI: -4.8, -2.6 and 22%, -4.8, -2.5, respectively), while the smallest decreases occurred at 11 pm and 1 am (both: 11%, -1.9 ppb, 95% CI: -3.1, -0.7). Conclusion NY on Pause's impact on TRAP varied greatly diurnally. Decreases during early morning and evening time periods are likely due to decreases in traffic. Our results may be useful for planning traffic policies that vary by time of day, such as congestion tolling policies.
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Affiliation(s)
- Jenni A Shearston
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 722 W 168th St., 11th Floor, New York, NY, 10032, USA
| | - Ilan Cerna-Turoff
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 722 W 168th St., 11th Floor, New York, NY, 10032, USA
| | - Markus Hilpert
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 722 W 168th St., 11th Floor, New York, NY, 10032, USA
| | - Marianthi-Anna Kioumourtzoglou
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 722 W 168th St., 11th Floor, New York, NY, 10032, USA
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10
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Chen J, Rodopoulou S, Strak M, de Hoogh K, Taj T, Poulsen AH, Andersen ZJ, Bellander T, Brandt J, Zitt E, Fecht D, Forastiere F, Gulliver J, Hertel O, Hoffmann B, Hvidtfeldt UA, Verschuren WMM, Jørgensen JT, Katsouyanni K, Ketzel M, Lager A, Leander K, Liu S, Ljungman P, Severi G, Boutron-Ruault MC, Magnusson PKE, Nagel G, Pershagen G, Peters A, Rizzuto D, van der Schouw YT, Samoli E, Sørensen M, Stafoggia M, Tjønneland A, Weinmayr G, Wolf K, Brunekreef B, Raaschou-Nielsen O, Hoek G. Long-term exposure to ambient air pollution and bladder cancer incidence in a pooled European cohort: the ELAPSE project. Br J Cancer 2022; 126:1499-1507. [PMID: 35173304 PMCID: PMC9090745 DOI: 10.1038/s41416-022-01735-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 01/21/2022] [Accepted: 02/02/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND The evidence linking ambient air pollution to bladder cancer is limited and mixed. METHODS We assessed the associations of bladder cancer incidence with residential exposure to fine particles (PM2.5), nitrogen dioxide (NO2), black carbon (BC), warm season ozone (O3) and eight PM2.5 elemental components (copper, iron, potassium, nickel, sulfur, silicon, vanadium, and zinc) in a pooled cohort (N = 302,493). Exposures were primarily assessed based on 2010 measurements and back-extrapolated to the baseline years. We applied Cox proportional hazard models adjusting for individual- and area-level potential confounders. RESULTS During an average of 18.2 years follow-up, 967 bladder cancer cases occurred. We observed a positive though statistically non-significant association between PM2.5 and bladder cancer incidence. Hazard Ratios (HR) were 1.09 (95% confidence interval (CI): 0.93-1.27) per 5 µg/m3 for 2010 exposure and 1.06 (95% CI: 0.99-1.14) for baseline exposure. Effect estimates for NO2, BC and O3 were close to unity. A positive association was observed with PM2.5 zinc (HR 1.08; 95% CI: 1.00-1.16 per 10 ng/m3). CONCLUSIONS We found suggestive evidence of an association between long-term PM2.5 mass exposure and bladder cancer, strengthening the evidence from the few previous studies. The association with zinc in PM2.5 suggests the importance of industrial emissions.
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Affiliation(s)
- Jie Chen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
| | - Sophia Rodopoulou
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Maciej Strak
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland
- University of Basel, Basel, Switzerland
| | - Tahir Taj
- Danish Cancer Society Research Center, Copenhagen, Denmark
| | | | - Zorana J Andersen
- Section of Environment and Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Tom Bellander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- iClimate - interdisciplinary Centre for Climate Change, Aarhus University, Roskilde, Denmark
| | - Emanuel Zitt
- Agency for Preventive and Social Medicine (aks), Bregenz, Austria
- Department of Internal Medicine 3, LKH Feldkirch, Feldkirch, Austria
| | - Daniela Fecht
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Francesco Forastiere
- Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy
- Environmental Research Group, School of Public Health, Faculty of Medicine, Imperial College, London, UK
| | - John Gulliver
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Centre for Environmental Health and Sustainability & School of Geography, Geology and the Environment, University of Leicester, Leicester, UK
| | - Ole Hertel
- Departments of Bioscience, Aarhus University, Roskilde, Denmark
| | - Barbara Hoffmann
- Institute for Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | | | - W M Monique Verschuren
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Jeanette T Jørgensen
- Section of Environment and Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Klea Katsouyanni
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford, GU2 7XH, United Kingdom
| | - Anton Lager
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Shuo Liu
- Section of Environment and Health, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Petter Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden
| | - Gianluca Severi
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" team, CESP UMR1018, 94805, Villejuif, France
- Department of Statistics, Computer Science and Applications "G. Parenti" (DISIA), University of Florence, Florence, Italy
| | - Marie-Christine Boutron-Ruault
- University Paris-Saclay, UVSQ, Inserm, Gustave Roussy, "Exposome and Heredity" team, CESP UMR1018, 94805, Villejuif, France
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Epidemiology, Ludwig Maximilians Universität München, Munich, Germany
| | - Debora Rizzuto
- Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Evangelia Samoli
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Mette Sørensen
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | - Massimo Stafoggia
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Epidemiology, Lazio Region Health Service/ASL Roma 1, Rome, Italy
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Diet, Genes and Environment (DGE), Bonn, Germany
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
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11
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Wei W, Wu BJ, Wu Y, Tong ZT, Zhong F, Hu CY. Association between long-term ambient air pollution exposure and the risk of breast cancer: a systematic review and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:63278-63296. [PMID: 34227005 DOI: 10.1007/s11356-021-14903-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 06/10/2021] [Indexed: 06/13/2023]
Abstract
Breast cancer is a complex and multifactorial disease which stems significantly from both environmental and genetic factors. A growing number of epidemiological studies have suggested that ambient air pollution (AAP) exposure may play an important role in breast cancer development. However, no consistency has been reached concerning whether high levels of air pollutant exposure were related to increased breast cancer risk among the current evidence. To further clarify such association of long-term AAP exposure with risk of breast cancer, a systematic review and meta-analysis of available evidence was performed. An extensive literature search in 3 academic databases was conducted before March 10, 2020. The risk of bias (RoB) for each individual study was evaluated with a domain-based assessment tool, developed by the National Toxicology Program/Office of Health Assessment and Translation (NTP/OHAT). Meta-estimates for air pollutant-breast cancer combinations were calculated for a standardized increment in exposure by random-effect models. The confidence level in the body of evidence and the certainty of evidence was also assessed for each air pollutant-breast cancer combination. The initial search identified 5446 studies, and 18 of them were eligible. The pooled analysis found an increased risk of breast cancer was associated with an increase in each 10 μg/m3 in nitrogen dioxide (NO2) exposure (hazard ratio (HR) = 1.02, 95% confidence interval (CI) = 1.01, 1.04), while particulate matter with aerodynamic diameters ≤ 2.5 μm and 10 μm (PM2.5, PM10) revealed no statistically significant associations with breast cancer risk. Our evaluation on the certainty of evidence indicates that there was a "moderate level of evidence" in the body of evidence for an association of NO2 exposure with an increased breast cancer risk and an "inadequate level of evidence" in the body of evidence for an association of PM2.5 and PM10 exposure with an increased breast cancer risk. Our study suggests long-term exposure to NO2 is related to an increased risk of breast cancer. However, in consideration of the limitations, further studies, especially performed in developing countries, with improvements in exposure assessment, outcome ascertainment, and confounder adjustment, are needed to draw a definite evidence of a causal relationship.
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Affiliation(s)
- Wu Wei
- Department of Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, China
| | - Bing-Jie Wu
- Department of Oncology, Fuyang Hospital of Anhui Medical University, 99 Huangshan Road, Fuyang, 236000, China
| | - Yue Wu
- Department of Traditional and Western Integrative Medicine Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, China
| | - Zhu-Ting Tong
- Department of Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, China
| | - Fei Zhong
- Department of Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, China.
- Department of Oncology, Fuyang Hospital of Anhui Medical University, 99 Huangshan Road, Fuyang, 236000, China.
| | - Cheng-Yang Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China.
- Department of Humanistic Medicine, School of Humanistic Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China.
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12
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Nitter TB, Hilt B, Svendsen KVH, Buhagen M, Jørgensen RB. Association between exposure to different stone aggregates from asphalt and blood coagulability: A human exposure chamber study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 778:146309. [PMID: 33714824 DOI: 10.1016/j.scitotenv.2021.146309] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 02/26/2021] [Accepted: 03/02/2021] [Indexed: 06/12/2023]
Abstract
A large fraction of particulate matter (PM), especially PM10, concentrations are due to non-exhaust emissions, such as road abrasion and wear on tires and brake pads. Concentrating on road abrasion, we aimed to investigate blood coagulability in healthy adults after exposure to two types of stone materials commonly used in asphalt on Norwegian roads. This study followed a randomized, double-blind, cross-over study design. Using an exposure chamber, 24 healthy young volunteers were exposed to aggregates of two different types of rocks and placebo dust: quartz diorite, rhomb porphyry, and lactose (placebo dust). Each exposure session lasted for 4 hours (h), and blood samples were collected before exposure (baseline), 4 h post-exposure, and 24 h post-exposure to analyse potential changes in the von Willebrand factor (vWF) as well as of fibrinogen, d-dimer, leukocytes, and thrombocytes. The dust concentration in the exposure chamber was measured with real-time instruments and gravimetric samples of total dust, respirable dust, PM10, PM2.5, and ultrafine particles (UFP). The results were analysed using a linear mixed-effect model. Leukocyte blood counts increased post-exposure for all exposure materials; however, none of the increases were statistically significant. The concentration of fibrinogen increased after exposure to quartz diorite, while it decreased after exposures to rhomb porphyry and lactose. Type of material was a statistically significant explanatory variable for the concentration of fibrinogen, with the most significant increase occurring 24 h post-exposure to quartz diorite. After exposure to the three materials, vWF decreased. For the thrombocytes, an increase in blood count was observed 24 h post-exposure to quartz diorite and rhomb porphyry, with a modest (p = 0.09) positive association for quartz diorite. Although the results are limited, we conclude that the different effects observed post-exposure to quartz diorite support considering potential health effects when choosing materials in the production of asphalt.
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Affiliation(s)
- Therese Bergh Nitter
- Department of Industrial Economics and Technology Management, Norwegian University of Science and Technology (NTNU), Norway.
| | - Bjørn Hilt
- Department of Occupational Medicine, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway; Department of Public Health and Nursing, NTNU, Norway
| | - Kristin V Hirsch Svendsen
- Department of Industrial Economics and Technology Management, Norwegian University of Science and Technology (NTNU), Norway
| | - Morten Buhagen
- Department of Occupational Medicine, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway; Department of Public Health and Nursing, NTNU, Norway
| | - Rikke Bramming Jørgensen
- Department of Industrial Economics and Technology Management, Norwegian University of Science and Technology (NTNU), Norway
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13
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Shafran-Nathan R, Etzion Y, Broday DM. Fusion of land use regression modeling output and wireless distributed sensor network measurements into a high spatiotemporally-resolved NO 2 product. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 271:116334. [PMID: 33388684 DOI: 10.1016/j.envpol.2020.116334] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Revised: 11/05/2020] [Accepted: 12/15/2020] [Indexed: 06/12/2023]
Abstract
Land use regression modeling is a common method for assessing exposure to ambient pollutants, yet it suffers from very coarse temporal resolution. Wireless distributed sensor networks (WDSN) is a promising technology that can provide extremely high spatiotemporal pollutant patterns but is known to suffer from several limitations that put into question its data reliability. This study examines the advantages of fusing data from these two methods and obtaining high spatiotemporally-resolved product that can be used for exposure assessment. We demonstrate this approach by estimating nitrogen dioxide (NO2) concentrations at a sub-urban scale, with the study area limited by the deployment of the WDSN nodes. Specifically, hourly-resolved fused-data estimates were obtained by combining a stationary traffic-based land use regression (LUR) model with observations (15 min sampling frequency) made by an array of low-cost sensor nodes, with the sensors' readings mapped over the whole study area. Data fusion was performed by merging the two independent information products using a fuzzy logic approach. The performance of the fused product was examined against reference hourly observations at four air quality monitoring (AQM) stations situated within the study area, with the AQM data not used for the development of any of the underlying information layers. The mean hourly RMSE between the fused data product and the AQM records was 9.3 ppb, smaller than the RMSE of the two base products independently (LUR: 14.87 ppb, WDSN: 10.45 ppb). The normalized Moran's I of the fused product indicates that the data-fusion product reveals more realistic spatial patterns than those of the base products. The fused NO2 concentration product shows considerable spatial variability relative to that evident by interpolation of both the WDSN records and the AQM stations data, with significant non-random patterns in 74% of the study period.
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Affiliation(s)
| | - Yael Etzion
- Faculty of Civil and Environmental Engineering, Technion IIT, Haifa, 32000, Israel
| | - David M Broday
- Faculty of Civil and Environmental Engineering, Technion IIT, Haifa, 32000, Israel.
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14
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Assessment of Concentrations of Heavy Metals in Postmyocardial Infarction Patients and Patients Free from Cardiovascular Event. Cardiol Res Pract 2021; 2021:9546358. [PMID: 33604084 PMCID: PMC7868144 DOI: 10.1155/2021/9546358] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 12/17/2020] [Accepted: 01/19/2021] [Indexed: 12/12/2022] Open
Abstract
Cardiovascular diseases (CVDs) constitute the first cause of death among the population of developing and developed countries. Atherosclerosis, which is a disorder with multifactorial etiopathogenesis, underlies most CVDs. The available literature includes ample research studies on the influence of classic cardiovascular (CV) risk factors. However, environmental exposure to heavy metals, among other substances, is still an unappreciated risk factor of CVDs. This study aimed to assess the concentration of some heavy metals (copper (Cu), zinc (Zn), manganese (Mn), cobalt (Co), and iron (Fe)) in the blood serum of postmyocardial infarction (post-MI) patients and patients free from myocardial infarction (MI) as well as estimate the relationship between the occurrence of MI and increased concentration of heavy metals. The concentration of heavy metals (Cu, Zn, Mn, Co, and Fe) was assessed using the inductively coupled plasma mass spectrometry technique in a group of 146 respondents divided into two groups: post-MI group (study group (SG), n = 74) and group without cardiovascular event (CVE) having a low CV risk (control group (CG), n = 72). The concentration of the analyzed heavy metals was higher in SG. All the heavy metals showed a significant diagnostic value (p < 0.001). The highest value of area under the curve (AUC) was observed for manganese (Mn) (0.955; 95% confidence interval (CI) = 0.922–0.988), while the lowest value was found for zinc (Zn) (0.691; 95% CI = 0.599–0.782). In one-dimensional models, high concentrations of each of the analyzed heavy metals significantly increased the chances of having MI from 7-fold (Cu) to 128-fold (Mn). All the models containing a particular metal showed a significant and high discrimination value for MI occurrence (AUC 0.72–0.92). Higher concentrations of Cu, Zn, Mn, Co, and Fe were found to considerably increase the chances of having MI. Considering the increasingly higher environmental exposure to heavy metals in recent times, their concentrations can be distinguished as a potential risk factor of CVDs.
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15
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Piepoli MF. Editor's presentation: Staying healthy and fighting cardiovascular disease at the time of COVID. Eur J Prev Cardiol 2021; 27:899-902. [PMID: 32486963 DOI: 10.1177/2047487320928709] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Massimo F Piepoli
- Heart Failure Unit, G da Saliceto Hospital, Italy.,Institute of Life Sciences, Sant'Anna School of Advanced Studies, Italy
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16
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Nowicki GJ, Ślusarska B, Naylor K, Prystupa A, Rudnicka-Drożak E, Halyuk U, Pokotylo P. The Relationship Between the Metabolic Syndrome and the Place of Residence in the Local Community on the Example of the Janów Lubelski District in Eastern Poland: A Population-Based Study. Diabetes Metab Syndr Obes 2021; 14:2041-2056. [PMID: 33986605 PMCID: PMC8110259 DOI: 10.2147/dmso.s301639] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 03/20/2021] [Indexed: 12/15/2022] Open
Abstract
PURPOSE The aim of this study was to estimate the incidence concerning metabolic syndrome (MetS) in a local community with a low socioeconomic status and a medium and high cardiovascular risk on the example of residents of Janów Lubelski district, eastern Poland. The second goal of the research was to analyze the relationship between residence and the occurrence of MetS. METHODS We conducted a cross-sectional study of 4040 people living in eastern Poland. A group of 3046 people with medium and high cardiovascular risk was selected among the respondents and included in further analyzes. The research adopted the definition criteria proposed by the National Cholesterol Education Program - Third Adult Treatment Panel (NCEP ATP III) to implement diagnostic evaluation of MetS. RESULTS It was observed that metabolic syndrome was significantly more frequent among the inhabitants of rural areas (40.56%; n=810) compared to those living in the city (35.27%; n=370) p=0.005. Among the inhabitants of rural areas, the percentage of people with elevated glucose levels was significantly higher, fasting blood glucose (FGB) p<0.001, elevated blood pressure (HBP) p<0.001, elevated serum triglycerides (TGs) p=0.01, and abnormal waist circumference (WC) p=0.003 compared to urban inhabitants. After adjusting for potential confounding variables (age, education, smoking, marital status, and level of physical activity), in both women and men, the odds of developing metabolic syndrome were approximately 30% higher in rural areas compared to urban residents (women: odds ratio (OR)=1.25, 95% confidence intervals (CI)=1.01-1.56; men: OR=1.30, 95% CI=1.01-1.67). CONCLUSION AND RECOMMENDATIONS A higher incidence of metabolic syndrome was observed among respondents living in rural areas than those living in cities. Similarly, across the gender strata, metabolic syndrome is more commonly diagnosed among men and women living in rural areas. Healthcare workers, especially in rural areas, should engage in education, prevention, and the promotion of a healthy lifestyle.
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Affiliation(s)
- Grzegorz Józef Nowicki
- Department of Family Medicine and Community Nursing, Medical University of Lublin, Lublin, Poland
- Correspondence: Grzegorz Józef Nowicki Department of Family Medicine and Community Nursing, Medical University of Lublin, Staszica 6 Street, PL-20-081, Lublin, PolandTel +48 81448 6810Fax +48 81448 6811 Email
| | - Barbara Ślusarska
- Department of Family Medicine and Community Nursing, Medical University of Lublin, Lublin, Poland
| | - Katarzyna Naylor
- Department of Didactics and Medical Simulation, Medical University of Lublin, Lublin, Poland
| | - Andrzej Prystupa
- Department of Internal Medicine, Medical University of Lublin, Lublin, Poland
| | | | - Ulyana Halyuk
- Department of Normal Anatomy, Lviv National Medical University, Lviv, Ukraine
| | - Petro Pokotylo
- Department of Normal Anatomy, Lviv National Medical University, Lviv, Ukraine
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17
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Zare Sakhvidi MJ, Lequy E, Goldberg M, Jacquemin B. Air pollution exposure and bladder, kidney and urinary tract cancer risk: A systematic review. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 267:115328. [PMID: 32871482 DOI: 10.1016/j.envpol.2020.115328] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 07/07/2020] [Accepted: 07/27/2020] [Indexed: 05/21/2023]
Abstract
BACKGROUND Exposure to outdoor air pollution has been linked to lung cancer, and suspicion arose regarding bladder, kidney, and urinary tract cancer (urological cancers). However, most of evidence comes from occupational studies; therefore, little is known about the effect of exposure to air pollution on the risk of urological cancers in the general population. METHOD We systematically searched Medline, Scopus, and Web of Science for articles investigating the associations between long-term exposure to air pollution and the risk of urological cancer (incidence or mortality). We included articles using a specific air pollutant (PM10, PM2.5, …) or proxies (traffic, proximity index …). We assessed each study's quality with the Newcastle-Ottawa scale and rated the quality of the body of evidence for each pollutant-outcome with the GRADE approach. The different study methodologies regarding exposure or outcome prevented us to perform a meta-analysis. RESULTS twenty articles (four case-control, nine cohort, and seven ecologic) met our inclusion criteria and were included in this review: eighteen reported bladder, six kidney, and two urinary tract. Modeling air pollutants was the most common exposure assessment method. Most of the included studies reported positive associations between air pollution and urological cancer risk. However, only a few reached statistical significance (e.g. for bladder cancer mortality, adjusted odds-ratio of 1.13 (1.03-1.23) for an increase of 4.4 μg.m-3 of PM2.5). Most studies inadequately addressed confounding, and cohort studies had an insufficient follow-up. DISCUSSION Overall, studies suggested positive (even though mostly non-significant) associations between air pollution exposure and bladder cancer mortality and kidney cancer incidence. We need more studies with better confounding control and longer follow-ups.
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Affiliation(s)
- Mohammad Javad Zare Sakhvidi
- University Rennes 1, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail), UMR_S 1085, F-35000, Rennes, France; Occupational Health Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
| | - Emeline Lequy
- INSERM, UMS 011, F-94807, Villejuif, France; Université de Montréal Hospital Research Centre (CRCHUM), Montreal, QC, Canada
| | - Marcel Goldberg
- INSERM, UMS 011, F-94807, Villejuif, France; Université Paris Descartes, 12, Rue de L'école de Médecine, F-75006, Paris, France
| | - Bénédicte Jacquemin
- University Rennes 1, Inserm, EHESP, Irset (Institut de Recherche en Santé, Environnement et Travail), UMR_S 1085, F-35000, Rennes, France.
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18
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Tan Q, Ma J, Zhou M, Wang D, Wang B, Nie X, Mu G, Zhang X, Chen W. Heavy metals exposure, lipid peroxidation and heart rate variability alteration: Association and mediation analyses in urban adults. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2020; 205:111149. [PMID: 32829210 DOI: 10.1016/j.ecoenv.2020.111149] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 08/04/2020] [Accepted: 08/10/2020] [Indexed: 06/11/2023]
Abstract
Exposure to heavy metals was reported to be associated with heart rate variability (HRV) alteration. However, possible pathway of such association remains unclear. In this research, we investigated the possible role of lipid peroxidation in the associations between urinary heavy metals and HRV. We performed a cross-sectional study using baseline data of Wuhan-Zhuhai cohort. Urinary heavy metals (including lead, barium, antimony, cadmium, zinc, copper, iron and manganese), urinary 8-iso-prostaglandin-F2α levels (common biomarker for lipid peroxidation) and HRV indices (SDNN, r-MSSD, low frequency, high frequency and total power) were measured among 3022 participants. We conducted multivariable linear regression models to quantify associations between urinary 8-iso-prostaglandin-F2α (8-iso-PGF2α) and heavy metals or HRV indices. The potential role of 8-iso-PGF2α in the association of urinary heavy metals with HRV was evaluated through mediation analyses. After adjusting for potential confounders, urinary manganese, iron, copper, zinc, cadmium, antimony and barium were identified to be negatively associated with one or more HRV parameters. Each one-unit growth of log-transformed levels of urinary manganese, iron, copper, zinc, antimony and barium was associated with a 1.9%, 1.5%, 4.7%, 4.0%, 2.7% and 1.3% decrease in SDNN, respectively. We observed positive dose-response relationships between all eight urinary heavy metals and 8-iso-PGF2α, as well as negative association of urinary 8-iso-PGF2α with SDNN and total power (all P trend<0.05). The proportions mediated by 8-iso-PGF2α on SDNN were 4.6% for manganese, 9.3% for iron, 19.8% for antimony and 11.0% for barium. The proportions mediated by 8-iso-PGF2α on total power were 6.9% for manganese and 10.1% for cadmium (all P value < 0.05). This study suggested that urinary manganese, iron, copper, zinc, cadmium, antimony and barium were negatively associated with HRV indices. Lipid peroxidation may partly mediate the associations of urinary manganese, iron, cadmium, antimony and barium with specific HRV indices.
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Affiliation(s)
- Qiyou Tan
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Jixuan Ma
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Min Zhou
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Dongming Wang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Bin Wang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Xiuquan Nie
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Ge Mu
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Xiaomin Zhang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Weihong Chen
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, And State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
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19
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Cohen G, Steinberg DM, Keinan-Boker L, Yuval, Levy I, Chen S, Shafran-Nathan R, Levin N, Shimony T, Witberg G, Bental T, Shohat T, Broday DM, Kornowski R, Gerber Y. Preexisting coronary heart disease and susceptibility to long-term effects of traffic-related air pollution: A matched cohort analysis. Eur J Prev Cardiol 2020; 28:2047487320921987. [PMID: 32389024 DOI: 10.1177/2047487320921987] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Individuals with coronary heart disease are considered susceptible to traffic-related air pollution exposure. Yet, cohort-based evidence on whether preexisting coronary heart disease modifies the association of traffic-related air pollution with health outcomes is lacking. AIM Using data of four Israeli cohorts, we compared associations of traffic-related air pollution with mortality and cancer between coronary heart disease patients and matched controls from the general population. METHODS Subjects hospitalized with acute coronary syndrome from two patient cohorts (inception years: 1992-1993 and 2006-2014) were age- and sex-matched to coronary heart disease-free participants of two cycles of the Israeli National Health and Nutrition Surveys (inception years: 1999-2001 and 2005-2006). Ambient concentrations of nitrogen oxides at the residential place served as a proxy for traffic-related air pollution exposure across all cohorts, based on a high-resolution national land use regression model (50 m). Data on all-cause mortality (last update: 2018) and cancer incidence (last update: 2016) were retrieved from national registries. Cox-derived stratum-specific hazard ratios with 95% confidence intervals were calculated, adjusted for harmonized covariates across cohorts, including age, sex, ethnicity, neighborhood socioeconomic status, smoking, diabetes, hypertension, prior stroke and prior malignancy (the latter only in the mortality analysis). Effect-modification was examined by testing nitrogen oxides-by-coronary heart disease interaction term in the entire matched cohort. RESULTS The cohort (mean (standard deviation) age 61.5 (14) years; 44% women) included 2393 matched pairs, among them 2040 were cancer-free at baseline. During a median (25th-75th percentiles) follow-up of 13 (10-19) and 11 (7-17) years, 1458 deaths and 536 new cancer cases were identified, respectively. In multivariable-adjusted models, a 10-parts per billion nitrogen oxides increment was positively associated with all-cause mortality among coronary heart disease patients (hazard ratio = 1.13, 95% confidence interval 1.05-1.22), but not among controls (hazard ratio = 1.00, 0.93-1.08) (pinteraction = 0.003). A similar pattern was seen for all-cancer incidence (hazard ratioCHD = 1.19 (1.03-1.37), hazard ratioCHD-Free = 0.93 (0.84-1.04) (pinteraction = 0.01)). Associations were robust to multiple sensitivity analyses. CONCLUSIONS Coronary heart disease patients might be at increased risk for traffic-related air pollution-associated mortality and cancer, irrespective of their age and sex. Patients and clinicians should be more aware of the adverse health effects on coronary heart disease patients of chronic exposure to vehicle emissions.
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Affiliation(s)
- Gali Cohen
- Department of Epidemiology and Preventive Medicine, Tel Aviv University, Israel
- Stanley Steyer Institute for Cancer Epidemiology and Research, Tel Aviv University, Israel
| | - David M Steinberg
- Department of Statistics and Operations Research, Tel Aviv University, Israel
| | - Lital Keinan-Boker
- Israel Center for Disease Control, Israel Ministry of Health, Israel
- School of Public Health, University of Haifa, Israel
| | - Yuval
- Technion Center of Excellence in Exposure Science and Environmental Health, Technion Israel Institute of Technology, Israel
| | - Ilan Levy
- Technion Center of Excellence in Exposure Science and Environmental Health, Technion Israel Institute of Technology, Israel
| | - Shimon Chen
- Technion Center of Excellence in Exposure Science and Environmental Health, Technion Israel Institute of Technology, Israel
| | - Rakefet Shafran-Nathan
- Technion Center of Excellence in Exposure Science and Environmental Health, Technion Israel Institute of Technology, Israel
| | - Noam Levin
- Department of Geography, Hebrew University of Jerusalem, Israel
- Remote Sensing Research Centre, School of Earth and Environmental Sciences, The University of Queensland, Australia
| | - Tal Shimony
- Israel Center for Disease Control, Israel Ministry of Health, Israel
| | - Guy Witberg
- Remote Sensing Research Centre, School of Earth and Environmental Sciences, The University of Queensland, Australia
- Department of Cardiology, Rabin Medical Center (Beilinson and Hasharon Hospitals), Israel
| | - Tamir Bental
- Remote Sensing Research Centre, School of Earth and Environmental Sciences, The University of Queensland, Australia
| | - Tamar Shohat
- Department of Epidemiology and Preventive Medicine, Tel Aviv University, Israel
| | - David M Broday
- Technion Center of Excellence in Exposure Science and Environmental Health, Technion Israel Institute of Technology, Israel
| | - Ran Kornowski
- Remote Sensing Research Centre, School of Earth and Environmental Sciences, The University of Queensland, Australia
- Deptartment of Cardiovascular Medicine, Sackler Faculty of Medicine, Tel Aviv University, Israel
| | - Yariv Gerber
- Department of Epidemiology and Preventive Medicine, Tel Aviv University, Israel
- Stanley Steyer Institute for Cancer Epidemiology and Research, Tel Aviv University, Israel
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20
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Affiliation(s)
- Massimo F Piepoli
- Heart Failure Unit, G da Saliceto Hospital, AUSL Piacenza, Italy.,Institute of Life Sciences, Sant'Anna School of Advanced Studies, Italy
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21
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Prochaska JH, Müller F, Wild PS. Impact of diesel exposure on human health: the saga continues …. Eur J Prev Cardiol 2020; 28:e10-e11. [PMID: 33611469 DOI: 10.1177/2047487320915335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- Jürgen H Prochaska
- Preventive Cardiology and Preventive Medicine, Center for Cardiology, University Medical Center of the Johannes Gutenberg-University Mainz, Germany.,Center for Thrombosis and Hemostasis, University Medical Center of the Johannes Gutenberg-University Mainz, Germany.,German Center for Cardiovascular Research (DZHK), Partner Site RheinMain, Germany
| | - Felix Müller
- Preventive Cardiology and Preventive Medicine, Center for Cardiology, University Medical Center of the Johannes Gutenberg-University Mainz, Germany.,German Center for Cardiovascular Research (DZHK), Partner Site RheinMain, Germany
| | - Philipp S Wild
- Preventive Cardiology and Preventive Medicine, Center for Cardiology, University Medical Center of the Johannes Gutenberg-University Mainz, Germany.,Center for Thrombosis and Hemostasis, University Medical Center of the Johannes Gutenberg-University Mainz, Germany.,German Center for Cardiovascular Research (DZHK), Partner Site RheinMain, Germany
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22
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Piepoli MF. Editor’s presentation: Modifiers in cardiovascular risk estimation. Eur J Prev Cardiol 2020; 27:451-453. [DOI: 10.1177/2047487320914178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Massimo F Piepoli
- Heart Failure Unit, G da Saliceto Hospital, Italy
- Institute of Life Sciences, Sant’Anna School of Advanced Studies, Italy
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23
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Ishii M, Seki T, Kaikita K, Sakamoto K, Nakai M, Sumita Y, Nishimura K, Miyamoto Y, Noguchi T, Yasuda S, Kanaoka K, Terasaki S, Saito Y, Tsutsui H, Komuro I, Ogawa H, Tsujita K, Kawakami K. Association of short-term exposure to air pollution with myocardial infarction with and without obstructive coronary artery disease. Eur J Prev Cardiol 2020; 28:1435-1444. [PMID: 34695220 DOI: 10.1177/2047487320904641] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Accepted: 10/09/2019] [Indexed: 11/16/2022]
Abstract
Background Air pollution including particulate matter with an aerodynamic diameter ≤2.5 µm (PM2.5) increases the risk of acute myocardial infarction. However, whether short-term exposure to PM2.5 triggers the onset of myocardial infarction with nonobstructive coronary arteries, compared with myocardial infarction with coronary artery disease, has not been elucidated. This study aimed to estimate the association between short-term exposure to PM2.5 and admission for acute myocardial infarction, myocardial infarction with coronary artery disease, and myocardial infarction with nonobstructive coronary arteries. Design This was a time-stratified case-crossover study and multicenter validation study. Methods This study used a nationwide administrative database in Japan between April 2012–March 2016. Of 137,678 acute myocardial infarction cases, 123,633 myocardial infarction with coronary artery disease and 14,045 myocardial infarction with nonobstructive coronary arteries were identified by a validated algorithm combined with International Classification of Disease (10th revision), diagnostic, and procedure codes. Air pollutants and meteorological data were obtained from the monitoring station nearest to the admitting hospital. Results In spring (March–May), the short-term increase of 10 µg/m3 in PM2.5 2 days before admission was significantly associated with admission for acute myocardial infarction, myocardial infarction with nonobstructive coronary arteries, and myocardial infarction with coronary artery disease after adjustment for meteorological variables (odds ratio 1.060, 95% confidence interval 1.038–1.082; odds ratio 1.151, 1.079–1.227; odds ratio 1.049, 1.026–1.073, respectively), while the association was not significant in other variables. These associations were also observed after adjustment for other co-pollutants. The risk for myocardial infarction with nonobstructive coronary arteries (vs myocardial infarction with coronary artery disease) was associated with an even lower concentration of PM2.5 under the current environmental standards. Conclusions This study showed the seasonal difference of acute myocardial infarction risk attributable to PM2.5 and the difference in the threshold of triggering the onset of acute myocardial infarction subtype.
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Affiliation(s)
- Masanobu Ishii
- Graduate School of Medical Sciences, Kumamoto University, Japan
- Graduate School of Medicine and Public Health, Kyoto University, Japan
- National Cerebral and Cardiovascular Center, Japan
| | - Tomotsugu Seki
- Graduate School of Medicine and Public Health, Kyoto University, Japan
| | - Koichi Kaikita
- Graduate School of Medical Sciences, Kumamoto University, Japan
| | - Kenji Sakamoto
- Graduate School of Medical Sciences, Kumamoto University, Japan
| | | | - Yoko Sumita
- National Cerebral and Cardiovascular Center, Japan
| | | | | | | | | | | | | | | | | | - Issei Komuro
- Graduate School of Medicine and Faculty of Medicine, University of Tokyo, Japan
| | - Hisao Ogawa
- National Cerebral and Cardiovascular Center, Japan
| | - Kenichi Tsujita
- Graduate School of Medical Sciences, Kumamoto University, Japan
| | - Koji Kawakami
- Graduate School of Medicine and Public Health, Kyoto University, Japan
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24
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Tousoulis D, Fountoulakis P, Oikonomou E, Antoniades C, Siasos G, Tsalamandris S, Georgiopoulos G, Pallantza Z, Pavlou E, Milliou A, Assimakopoulos MN, Barmparesos N, Giannarakis I, Siamata P, Kaski JC. Acute exposure to diesel affects inflammation and vascular function. Eur J Prev Cardiol 2020; 28:1192-1200. [PMID: 34551088 DOI: 10.1177/2047487319898020] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 12/10/2019] [Indexed: 12/13/2022]
Abstract
Abstract
Background
Diesel exhaust fumes represent one of the most common toxic pollutants. The prolonged effects of acute exposure to this pollutant on inflammatory status and vascular properties are unknown.
Methods
During a 2-h session, 40 healthy subjects were exposed to diesel exhaust fumes and/or filtered air. Endothelial function was assessed with flow mediated dilation, arterial stiffness with pulse wave velocity and reflected waves with augmentation index. C-reactive protein, fibrinogen, protein C levels and protein S activity were also measured. Standard deviation of normal to normal R–R intervals (SDNN) was used to assess heart rate variability. Measurements were assessed before exposure and 2 and 24 h after diesel exposure.
Results
Compared with filtered air, exposure to diesel exhaust fumes decreased flow mediated dilation and increased pulse wave velocity and augmentation index up to 24 h after the exposure (p < 0.001 for all). Similarly, compared with filtered air, diesel exhaust exposure impaired SDNN during the 24-h study period (p = 0.007). C-reactive protein and fibrinogen levels were significantly increased after diesel exhaust exposure while protein C levels and protein S activity decreased (p < 0.01 for all). Exposure to diesel exhaust fumes resulted in higher C-reactive protein concentration in smokers compared with non-smokers (p < 0.001).
Conclusion
Short-term exposure to diesel exhaust fumes has a prolonged adverse impact on endothelial function and vascular wall properties, along with impaired heart rate variability, abnormal fibrinolytic activity and increased markers of inflammation. These findings give insights into the mechanisms underlining the increased cardiovascular risk of subjects regularly exposed to diesel exhaust fumes.
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Affiliation(s)
- Dimitris Tousoulis
- 1st Cardiology Clinic, ‘Hippokration’ General Hospital, National and Kapodistrian University of Athens, School of Medicine, Greece
| | - Petros Fountoulakis
- 1st Cardiology Clinic, ‘Hippokration’ General Hospital, National and Kapodistrian University of Athens, School of Medicine, Greece
| | - Evangelos Oikonomou
- 1st Cardiology Clinic, ‘Hippokration’ General Hospital, National and Kapodistrian University of Athens, School of Medicine, Greece
| | - Charalambos Antoniades
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, UK
- Oxford Centre of Research Excellence, British Heart Foundation, UK
- Oxford Biomedical Research Centre, National Institute of Health Research, UK
| | - Gerasimos Siasos
- 1st Cardiology Clinic, ‘Hippokration’ General Hospital, National and Kapodistrian University of Athens, School of Medicine, Greece
- Brigham and Women’s Hospital, Harvard Medical School, Boston, USA
| | - Sotirios Tsalamandris
- 1st Cardiology Clinic, ‘Hippokration’ General Hospital, National and Kapodistrian University of Athens, School of Medicine, Greece
| | - Georgios Georgiopoulos
- 1st Cardiology Clinic, ‘Hippokration’ General Hospital, National and Kapodistrian University of Athens, School of Medicine, Greece
| | - Zoi Pallantza
- 1st Cardiology Clinic, ‘Hippokration’ General Hospital, National and Kapodistrian University of Athens, School of Medicine, Greece
| | - Efthimia Pavlou
- 1st Cardiology Clinic, ‘Hippokration’ General Hospital, National and Kapodistrian University of Athens, School of Medicine, Greece
| | - Antigoni Milliou
- 1st Cardiology Clinic, ‘Hippokration’ General Hospital, National and Kapodistrian University of Athens, School of Medicine, Greece
| | | | | | | | - Pinelopi Siamata
- National and Kapodistrian University of Athens, Physics Department, Greece
| | - Juan C Kaski
- Molecular and Clinical Sciences Research Institute, St George’s University of London, UK
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25
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Erkens R, Kelm M. Fine particulate matter: An underestimated cardiovascular risk factor? Eur J Prev Cardiol 2020; 28:e9-e10. [PMID: 33611425 DOI: 10.1177/2047487319899122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Ralf Erkens
- Division of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, University Duesseldorf, Duesseldorf, Germany.,CARID, Cardiovascular Research Institute Duesseldorf, Medical Faculty, University Duesseldorf, Duesseldorf, Germany
| | - Malte Kelm
- Division of Cardiology, Pulmonology and Vascular Medicine, Medical Faculty, University Duesseldorf, Duesseldorf, Germany.,CARID, Cardiovascular Research Institute Duesseldorf, Medical Faculty, University Duesseldorf, Duesseldorf, Germany
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26
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Piepoli MF, Abreu A, Albus C, Ambrosetti M, Brotons C, Catapano AL, Corra U, Cosyns B, Deaton C, Graham I, Hoes A, Lochen ML, Matrone B, Redon J, Sattar N, Smulders Y, Tiberi M. Update on cardiovascular prevention in clinical practice: A position paper of the European Association of Preventive Cardiology of the European Society of Cardiology. Eur J Prev Cardiol 2019; 27:181-205. [PMID: 31826679 DOI: 10.1177/2047487319893035] [Citation(s) in RCA: 125] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
European guidelines on cardiovascular prevention in clinical practice were first published in 1994 and have been regularly updated, most recently in 2016, by the Sixth European Joint Task Force. Given the amount of new information that has become available since then, components from the task force and experts from the European Association of Preventive Cardiology of the European Society of Cardiology were invited to provide a summary and critical review of the most important new studies and evidence since the latest guidelines were published. The structure of the document follows that of the previous document and has six parts: Introduction (epidemiology and cost effectiveness); Cardiovascular risk; How to intervene at the population level; How to intervene at the individual level; Disease-specific interventions; and Settings: where to intervene? In fact, in keeping with the guidelines, greater emphasis has been put on a population-based approach and on disease-specific interventions, avoiding re-interpretation of information already and previously considered. Finally, the presence of several gaps in the knowledge is highlighted.
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Affiliation(s)
- Massimo F Piepoli
- Department of Cardiology, Polichirurgico Hospital G Da Saliceto, Italy.,Institute of Life Sciences, Sant'Anna School of Advanced Studies, Italy
| | - Ana Abreu
- Serviço de Cardiologia, Universidade de Lisboa, Portugal
| | - Christian Albus
- Department of Pshychosomatics and Psychotherapy, University of Cologne, Germany
| | - Marco Ambrosetti
- Department of Cardiac Rehabilitation, Istituti Clinici Scientifici Maugeri IRCCS, Institute of Pavia, Italy
| | - Carlos Brotons
- Biomedical Research Institute Sant Pau Research Unit, Sardenya Primary Health Care Center, Spain
| | - Alberico L Catapano
- Department of Pharmacological and Biomolecular Sciences, Università degli studi di Milano, Italy
| | - Ugo Corra
- Department of Cardiac Rehabilitation, Istituti Clinici Scientifici Maugeri IRCCS, Institute of Veruno, Italy
| | - Bernard Cosyns
- Department of Cardiology, Universitair Ziekenhuis Brussel, Belgium
| | - Christi Deaton
- Department of Public Health and Primary Care, University of Cambridge, UK
| | - Ian Graham
- Cardiovascular Medicine, Trinity College Dublin, Ireland
| | - Arno Hoes
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands
| | - Maja-Lisa Lochen
- Department of Community Medicine, UiT the Artic University of Norway, Norway
| | - Benedetta Matrone
- Department of Cardiology, Polichirurgico Hospital G Da Saliceto, Italy
| | - Josep Redon
- INCLIVA Research Institute, University of Valencia, Spain
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, UK
| | - Yvo Smulders
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands
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Kim HB, Shim JY, Park B, Lee YJ. Long-term exposure to air pollution and the risk of non-lung cancer: a meta-analysis of observational studies. Perspect Public Health 2019; 140:222-231. [PMID: 31813335 DOI: 10.1177/1757913919891751] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
AIMS Several meta-analyses of observational studies report a long-term correlation between air pollution and the risk of cancer, particularly lung carcinoma. The aim of this study was to review and quantify evidence for an association between air pollution and the risk of developing non-lung cancers. METHODS We searched PubMed, EMBASE, Cochrane Library, and the reference lists of the included studies as well as those recorded in previous meta-analyses conducted before January 2019. A random-effects model was used to derive overall risk estimates per pollutant. RESULTS A total of 20 studies, including 5 case-control and 15 prospective cohort studies, were used in the final analysis. The risk of developing non-lung cancer was 1.09 (95% confidence interval (CI): 1.01-1.18, I2 = 72.9%) per NO2 increases of 10 µg/m3. There was also a significant association between exposure to PM2.5 and PM10 and the risk of non-lung cancer when the male and female populations were combined (pooled odds ratio/relative risk (OR/RR) = 1.22, 95% CI: 1.11-1.34; I2 = 0.0% and pooled OR/RR = 1.26, 95% CI: 1.05-1.52; I2 = 43.9%, respectively). Regarding the type of cancer, significant harmful effects of PM2.5 were observed for liver cancer populations (pooled OR/RR = 1.21, 95% CI: 1.10-1.32; I2 = 0.0%). Different types of cancer were positively associated with the incidence of non-lung cancer and PM10 in the random-effect meta-regression analysis. CONCLUSIONS Long-term exposure to air pollutants appears to be associated with an increased risk of non-lung cancer. Care should be taken in interpretation, because the results for specific cancers were restricted.
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Affiliation(s)
- H-B Kim
- Department of Family Medicine, Myongji Hospital, Hanyang University College of Medicine, Goyang, Republic of Korea.,Department of Medicine, Graduate School, Yonsei University, Seoul, Republic of Korea
| | - J-Y Shim
- Department of Medicine, Graduate School, Yonsei University, Seoul, Republic of Korea.,Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - B Park
- Department of Medicine, Graduate School, Yonsei University, Seoul, Republic of Korea.,Department of Family Medicine, Yongin Severance Hospital, Yongin, Republic of Korea
| | - Y-J Lee
- Department of Medicine, Graduate School, Yonsei University, Seoul, Republic of Korea.,Department of Family Medicine, Gangnam Severance Hospital, Seoul, Republic of Korea
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Sadeh M, Brauer M, Chudnovsky A, Ziv A, Dankner R. Residential greenness and increased physical activity in patients after coronary artery bypass graft surgery. Eur J Prev Cardiol 2019; 28:1184-1191. [DOI: 10.1177/2047487319886017] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2019] [Accepted: 10/10/2019] [Indexed: 11/16/2022]
Abstract
Abstract
Aims
Physical activity is a fundamental component of rehabilitation following coronary artery bypass (CABG) surgery. Proximity to neighbourhood green spaces may encourage physical activity. We investigated the association between residential greenness and exercise-related physical activity post-CABG surgery.
Methods
Participants in a prospective cohort study of 846 patients (78% men) who underwent CABG surgery at seven cardiothoracic units during the time period 2004–2007 were interviewed regarding their physical activity habits one day before and one year after surgery. Exposure to residential neighbourhood greenness (within a 300 m buffer around their place of residence) was measured using the Normalized Difference Vegetative Index. Participation in exercise-related physical activity (yes/no), weekly duration of exercise-related physical activity and the change in exercise-related physical activity between baseline and follow-up were examined for associations with residential greenness, adjusting for socio-demographic factors, propensity score adjusted participation in cardiac rehabilitation and health-related covariates after multiple imputation for missing variables.
Results
Living in a higher quartile of residential greenness was associated with a 52% greater odds of being physically active (OR 1.52, 95% CI 1.22–1.90). This association persisted only (OR 1.75, 95% CI 1.35–2.27) among patients who did not participate in cardiac rehabilitation following surgery and was stronger in women (OR 2.38, 95% CI 1.40–4.07) than in men (OR 1.37, 95% CI 1.07–1.75). Participants who lived in greener areas were more likely to increase their post-surgical physical activity than those who lived in less green areas (OR 1.59, 95% CI 1.25–2.01).
Conclusions
Residential greenness appears to be beneficial in increasing exercise-related physical activity in cardiac patients, especially those not particpating in cardiac rehabilitation after CABG surgery.
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Affiliation(s)
- Maya Sadeh
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler School of Medicine, Tel Aviv University, Israel
| | - Michael Brauer
- School of Population & Public Health, University of British Columbia, Canada
| | - Alexandra Chudnovsky
- AIR-O Lab, Porter School of Environment and Geosciences, Faculty of Exact Sciences, Department of Geography and Human Environment, Tel Aviv University, Israel
| | - Arnona Ziv
- Unit for Data Management and Computerization, The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Israel
| | - Rachel Dankner
- Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler School of Medicine, Tel Aviv University, Israel
- Unit for Cardiovascular Epidemiology, The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Israel
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29
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Affiliation(s)
- Hisato Takagi
- Department of Cardiovascular Surgery, Shizuoka Medical Center, Shizuoka, Japan.,Department of Cardiovascular Surgery, Kitasato University School of Medicine, Sagamihara, Japan
| | - Yosuke Hari
- Department of Cardiovascular Surgery, Shizuoka Medical Center, Shizuoka, Japan.,Department of Cardiovascular Surgery, Kitasato University School of Medicine, Sagamihara, Japan
| | - Kouki Nakashima
- Department of Cardiovascular Surgery, Shizuoka Medical Center, Shizuoka, Japan.,Department of Cardiovascular Surgery, Kitasato University School of Medicine, Sagamihara, Japan
| | - Toshiki Kuno
- Department of Medicine, Mount Sinai Beth Israel Medical Center, New York, NY, USA
| | - Tomo Ando
- Division of Interventional Cardiology, Department of Cardiology, New York Presbyterian Hospital/Columbia University Medical Center, New York, NY, USA
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30
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Cohen G, Steinberg DM, Levy I, Chen S, Kark JD, Levin N, Witberg G, Bental T, Broday DM, Kornowski R, Gerber Y. Cancer and mortality in relation to traffic-related air pollution among coronary patients: Using an ensemble of exposure estimates to identify high-risk individuals. ENVIRONMENTAL RESEARCH 2019; 176:108560. [PMID: 31295664 DOI: 10.1016/j.envres.2019.108560] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2019] [Revised: 05/26/2019] [Accepted: 06/27/2019] [Indexed: 06/09/2023]
Abstract
BACKGROUND Moderate correlations were previously observed between individual estimates of traffic-related air pollution (TRAP) produced by different exposure modeling approaches. This induces exposure misclassification for a substantial fraction of subjects. AIM We used an ensemble of well-established modeling approaches to increase certainty of exposure classification and reevaluated the association with cancers previously linked to TRAP (lung, breast and prostate), other cancers, and all-cause mortality in a cohort of coronary patients. METHODS Patients undergoing percutaneous coronary interventions in a major Israeli medical center from 2004 to 2014 (n = 10,627) were followed for cancer (through 2015) and mortality (through 2017) via national registries. Residential exposure to nitrogen oxides (NOx) -a proxy for TRAP- was estimated by optimized dispersion model (ODM) and land use regression (LUR) (rPearson = 0.50). Mutually exclusive groups of subjects classified as exposed by none of the methods (high-certainty low-exposed), ODM alone, LUR alone, or both methods (high-certainty high-exposed) were created. Associations were examined using Cox regression models. RESULTS During follow-up, 741 incident cancer cases were diagnosed and 3051 deaths occurred. Using a ≥25 ppb cutoff, compared with high-certainty low exposed, the multivariable-adjusted hazard ratios (95% confidence intervals) for lung, breast and prostate cancer were 1.56 (1.13-2.15) in high-certainty exposed, 1.27 (0.86-1.86) in LUR-exposed alone, and 1.13 (0.77-1.65) in ODM-exposed alone. The association of the former category was strengthened using more extreme NOx cutoffs. A similar pattern, albeit less strong, was observed for mortality, whereas no association was shown for cancers not previously linked to TRAP. CONCLUSIONS Use of an ensemble of TRAP exposure estimates may improve classification, resulting in a stronger association with outcomes.
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Affiliation(s)
- Gali Cohen
- Dept. of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - David M Steinberg
- Dept. of Statistics and Operations Research, School of Mathematical Sciences, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Ilan Levy
- Technion Center of Excellence in Exposure Science and Environmental Health, Technion Israel Institute of Technology, Israel
| | - Shimon Chen
- Technion Center of Excellence in Exposure Science and Environmental Health, Technion Israel Institute of Technology, Israel
| | - Jeremy D Kark
- Epidemiology Unit, Braun School of Public Health and Community Medicine, Hebrew University and Hadassah Medical Organization, Jerusalem, Israel
| | - Noam Levin
- Dept. of Geography, Hebrew University of Jerusalem, Israel
| | - Guy Witberg
- Dept. of Cardiology, Rabin Medical Center, Petach-Tikva, Israel; Dept. of Cardiovascular Medicine, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Tamir Bental
- Dept. of Cardiology, Rabin Medical Center, Petach-Tikva, Israel
| | - David M Broday
- Technion Center of Excellence in Exposure Science and Environmental Health, Technion Israel Institute of Technology, Israel
| | - Ran Kornowski
- Dept. of Cardiology, Rabin Medical Center, Petach-Tikva, Israel; Dept. of Cardiovascular Medicine, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Yariv Gerber
- Dept. of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Stanley Steyer Institute for Cancer Epidemiology and Research, Tel Aviv University, Tel Aviv, Israel.
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31
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Tobaldini E, Iodice S, Bonora R, Bonzini M, Brambilla A, Sesana G, Bollati V, Montano N. Out-of-hospital cardiac arrests in a large metropolitan area: synergistic effect of exposure to air particulates and high temperature. Eur J Prev Cardiol 2019; 27:513-519. [DOI: 10.1177/2047487319862063] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Aims Air pollution and climate change are intrinsically linked to emerging hazards for global health. High air particulate matter (PM) levels may trigger out-of-hospital cardiac arrest (OHCA). High temperature could act synergistically with PM in determining OHCA. The aim of the present study was to investigate the effect of PM exposure alone, and in combination with temperature, on the risk of OHCA, in a large European metropolitan area with population >4 million. Methods We evaluated the association between short-term PM exposure, temperature, and the risk of OHCA over a two-year study period, allowing us to investigate 5761 events using a time-stratified case-crossover design combined with a distributed lag non-linear model. Results Higher risk of OHCA was associated with short-term exposure to PM10. The strongest association was experienced three days before the cardiac event where the estimated change in risk was 1.70% (0.48–2.93%) per 10 µg/m3 of PM. The cumulative exposure risk over the lags 0–6 was 8.5% (0.0–17.9%). We observed a joint effect of PM and temperature in triggering cardiac arrests, with a maximum effect of 14.9% (10.0–20.0%) increase, for high levels of PM before the cardiac event, in the presence of high temperature. Conclusion The present study helps to clarify the controversial role of PM as OHCA determinant. It also highlights the role of increased temperature as a key factor in triggering cardiac events. This evidence suggests that tackling both air pollution and climate change might have a relevant impact in terms of public health.
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Affiliation(s)
- Eleonora Tobaldini
- Department of Clinical Sciences and Community Health, University of Milan, Italy
- Department of Internal Medicine, Fondazione IRCCS Ca’ Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Simona Iodice
- Department of Clinical Sciences and Community Health, University of Milan, Italy
| | - Rodolfo Bonora
- Agenzia Regionale Emergenza Urgenza, Lombardia & ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Matteo Bonzini
- Department of Clinical Sciences and Community Health, University of Milan, Italy
- Department of Preventive Medicine, Fondazione IRCCS Ca’ Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Annamaria Brambilla
- Emergency Care Unit, Fondazione IRCCS Ca’ Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Giovanni Sesana
- Agenzia Regionale Emergenza Urgenza, Lombardia & ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy
| | - Valentina Bollati
- Department of Clinical Sciences and Community Health, University of Milan, Italy
- Department of Preventive Medicine, Fondazione IRCCS Ca’ Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Nicola Montano
- Department of Clinical Sciences and Community Health, University of Milan, Italy
- Department of Internal Medicine, Fondazione IRCCS Ca’ Granda, Ospedale Maggiore Policlinico, Milan, Italy
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32
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Affiliation(s)
- Massimo F Piepoli
- Heart Failure Unit, G da Saliceto Hospital, Italy
- Institute of Life Sciences, Scuola Superiore Sant Anna, Sant Anna School of Advanced Studies, Pisa, Italy
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33
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Gerber Y. Can atrial fibrillation be caused or triggered by air pollution? An epidemiological perspective. Eur J Prev Cardiol 2019; 26:1205-1207. [PMID: 30971128 DOI: 10.1177/2047487319842233] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Yariv Gerber
- 1 Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Israel.,2 Stanley Steyer Institute for Cancer Epidemiology and Research, Tel Aviv University, Israel
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34
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Kwon OK, Kim SH, Kang SH, Cho Y, Oh IY, Yoon CH, Kim SY, Kim OJ, Choi EK, Youn TJ, Chae IH. Association of short- and long-term exposure to air pollution with atrial fibrillation. Eur J Prev Cardiol 2019; 26:1208-1216. [DOI: 10.1177/2047487319835984] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Oh Kyung Kwon
- Cardiovascular Centre, Seoul National University Bundang Hospital, Seongnam-si, Korea
- Department of Internal Medicine, Seoul National University, Korea
| | - Sun-Hwa Kim
- Cardiovascular Centre, Seoul National University Bundang Hospital, Seongnam-si, Korea
- Department of Internal Medicine, Seoul National University, Korea
| | - Si-Hyuck Kang
- Cardiovascular Centre, Seoul National University Bundang Hospital, Seongnam-si, Korea
- Department of Internal Medicine, Seoul National University, Korea
| | - Youngjin Cho
- Cardiovascular Centre, Seoul National University Bundang Hospital, Seongnam-si, Korea
- Department of Internal Medicine, Seoul National University, Korea
| | - Il-Young Oh
- Cardiovascular Centre, Seoul National University Bundang Hospital, Seongnam-si, Korea
- Department of Internal Medicine, Seoul National University, Korea
| | - Chang-Hwan Yoon
- Cardiovascular Centre, Seoul National University Bundang Hospital, Seongnam-si, Korea
- Department of Internal Medicine, Seoul National University, Korea
| | - Sun-Young Kim
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Gyeonggi-do, Korea
| | - Ok-Jin Kim
- Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang-si, Gyeonggi-do, Korea
| | - Eue-Keun Choi
- Department of Internal Medicine, Seoul National University, Korea
- Department of Internal Medicine, Seoul National University Hospital, Korea
| | - Tae-Jin Youn
- Cardiovascular Centre, Seoul National University Bundang Hospital, Seongnam-si, Korea
- Department of Internal Medicine, Seoul National University, Korea
| | - In-Ho Chae
- Cardiovascular Centre, Seoul National University Bundang Hospital, Seongnam-si, Korea
- Department of Internal Medicine, Seoul National University, Korea
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Zhu C, Wang B, Xiao L, Guo Y, Zhou Y, Cao L, Yang S, Chen W. Mean platelet volume mediated the relationships between heavy metals exposure and atherosclerotic cardiovascular disease risk: A community-based study. Eur J Prev Cardiol 2019; 27:830-839. [PMID: 30776917 DOI: 10.1177/2047487319830536] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Heavy metals were related to increased risk of atherosclerotic cardiovascular disease (ASCVD). However, potential mechanisms under such associations remain unclear. We aimed to investigate the mediating role of mean platelet volume in the associations between heavy metals exposure and 10-year ASCVD risk. METHOD Urinary heavy metals and mean platelet volume were measured in 3081 adults from the Wuhan-Zhuhai cohort in China. The associations between urinary heavy metals, mean platelet volume and 10-year ASCVD risk were separately analyzed through generalized linear models and logistic regression models. Mediation analyses were conducted to assess the role of mean platelet volume in the associations between urinary heavy metals and 10-year ASCVD risk. RESULTS After adjusting for potential confounders, 10-year ASCVD risk was positively associated with urinary iron (odds ratio (OR) = 1.142, 95% confidence interval (1.038-1.256)), copper (OR = 1.384 (1.197-1.601)), zinc (OR = 1.520 (1.296-1.783)), cadmium (OR = 1.153 (0.990, 1.342)) and antimony (OR = 1.452 (1.237-1.704)), and negatively related with urinary barium (OR = 0.905 (0.831-0.985)). Also, we found significant dose-response relationships between urinary iron, zinc, antimony and mean platelet volume, as well as between mean platelet volume and 10-year ASCVD risk (all pfor trends < 0.05). Furthermore, mediation analyses indicated that mean platelet volume mediated 17.55%, 6.15% and 7.38% of the associations between urinary iron, zinc, antimony and 10-year ASCVD risk, respectively (all pvalue < 0.05). CONCLUSIONS Elevated concentrations of urinary iron, copper, zinc, cadmium and antimony were associated with increased risk of 10-year ASCVD. Mean platelet volume partially mediated the associations of urinary iron, zinc and antimony with 10-year ASCVD risk.
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Affiliation(s)
- Chunmei Zhu
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bin Wang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lili Xiao
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yanjun Guo
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yun Zhou
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Limin Cao
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shijie Yang
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Weihong Chen
- Department of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Prochaska JH, Wild PS. Traffic-associated air pollution as a risk factor for cancer in individuals with coronary artery disease. Eur J Prev Cardiol 2018; 25:1117-1119. [DOI: 10.1177/2047487318768942] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
- Jürgen H Prochaska
- Preventive Cardiology and Preventive Medicine, Centre for Cardiology, University Medical Centre of the Johannes Gutenberg-University Mainz, Germany
- Centre for Thrombosis and Haemostasis, University Medical Centre of the Johannes Gutenberg-University Mainz, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Rhein Main, Mainz, Germany
- Centre for Translational Vascular Biology (CTVB), University Medical Centre of the Johannes Gutenberg-University Mainz, Germany
| | - Philipp S Wild
- Preventive Cardiology and Preventive Medicine, Centre for Cardiology, University Medical Centre of the Johannes Gutenberg-University Mainz, Germany
- Centre for Thrombosis and Haemostasis, University Medical Centre of the Johannes Gutenberg-University Mainz, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Rhein Main, Mainz, Germany
- Centre for Translational Vascular Biology (CTVB), University Medical Centre of the Johannes Gutenberg-University Mainz, Germany
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